# Alibaba targets Nvidia’s dominant software ecosystem with open-source AI stack > Source: > Published: 2026-07-18 11:00:07+00:00 # Alibaba targets Nvidia’s dominant software ecosystem with open-source AI stack The firm’s chip unit T-Head aims to lower migration barriers to Zhenwu AI computing architectures, following similar initiatives by Huawei and Moore Threads [Ann Cao](/author/ann-cao)in Shanghai Alibaba Group Holding’s chip design unit, T-Head, has announced that it will open-source its proprietary software stack, marking its latest effort to streamline developer operations and challenge the dominance of American chip giant Nvidia’s CUDA ecosystem. [World AI Conference (WAIC)](https://www.scmp.com/tech/tech-war/article/3360870/top-takeaways-xi-jinpings-opening-address-world-ai-conference-shanghai?module=inline&pgtype=article)in Shanghai on Saturday, T-Head announced that it was making the full technical stack of SAIL – the foundational software architecture for the unit’s Zhenwu series of AI chips – freely available to international developers starting on the same day. [Huawei Technologies](https://www.scmp.com/topics/huawei?module=inline&pgtype=article)and [Moore Threads Technology](https://www.scmp.com/tech/tech-trends/article/3344877/moore-threads-flagship-ai-chip-compatible-alibaba-models-tech-self-reliance-push?module=inline&pgtype=article), to promote open, collaborative software ecosystems as an alternative to Nvidia’s dominant CUDA toolkit – the industry standard for writing software for graphics processing units. The vast majority of artificial intelligence programmers globally remain reliant on Nvidia’s specialised software, which effectively locks them into using the firm’s hardware. By offering alternative frameworks, Chinese technology firms seek to bolster self-sufficiency amid the broader US-China tech rivalry. In 2025, Huawei pursued a similar strategy by open-sourcing its Compute Architecture for Neural Networks (CANN), the software platform used to develop applications for its Ascend AI processors. T-Head stated that its own open-source initiative was designed to lower the barrier for international developers seeking to adopt its hardware, adding that programmers could adapt the SAIL stack to mainstream AI frameworks in less than seven days.